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EVALITA. Evaluation of NLP and Speech Tools for Italian

 | 
Pierpaolo Basile
, 
Franco Cutugno
, 
Malvina Nissim
, 
et al.

Part II: EVALITA 2016: Task overviews and participants reports

Lacam&Int@UNIBA at the EVALITA 2016-SENTIPOLC Task

Vito Vincenzo Covella, Berardina De Carolis, Stefano Ferilli y Domenico Redavid

Resumen

This paper describes our first experience of participation at the EVALITA challenge. We participated only to the SENTIPOLC Sentiment Polarity subtask and, to this purpose we tested two systems, both developed for a generic Text Categorization task, in the context of the sentiment analysis: SentimentWS and SentiPy. Both were developed according to the same pipeline, but using different feature sets and classification algorithms. The first system does not use any resource specifically developed for the sentiment analysis task. The second one, which had a slightly better performance in the polarity detection subtask, was enriched with an emoticon classifier in order to fit better the purpose of the challenge.

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Extracto del texto

1 Introduction

We tested two systems to analyze the Sentiment Polarity for Italian. They were designed and created to be generic Text Categorization (TC) systems without any specific feature and resource to support Sentiment Analysis. We used them in various domains (movie reviews, opinion about public administration services, mood detection, facebook posts, polarity expressed in the linguistic content of speech interaction, etc.).

Both systems were applied to the EVALITA 2016 SENTIPOLC Sentiment Polarity detection subtask (Barbieri et al., 2016) in order to understand whether, notwithstanding their “general-purpose” and context-independent setting, they were flexible enough to reach a good accuracy. If so, this would mean that the Sentiment Analysis task could be approached without creating special resources for this purpose, which is known to be a costly and critical activity, or that, if available, these resources may improve their performance.

We present here only the results of th...

Autores

Department of Computer Science University of Bari “Aldo Moro”, Italy - covinc93@gmail.com

Department of Computer Science University of Bari “Aldo Moro”, Italy - berardina.decarolis@uniba.it

Department of Computer Science University of Bari “Aldo Moro”, Italy - stefano.ferilli@uniba.it

Department of Computer Science University of Bari “Aldo Moro”, Italy - domenico.redavid@uniba.it

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